Bibliography (5):

1. Vision Transformer: An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

2. ImageNet Large Scale Visual Recognition Challenge

3. Interpret Vision Transformers as ConvNets with Dynamic Convolutions

4. Wikipedia Bibliography:

   1. Softmax function

   2. Rectifier (neural networks)